2002
DOI: 10.1016/s0377-2217(01)00092-3
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Multiobjective programming under d-invexity

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Cited by 34 publications
(25 citation statements)
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“…Antczak [14] studied d-invexity is one of the generalization of invex function, which is introduced by [15]. In [14], Antczak established, under weaker assumptions than Ye, the Fritz John type and Karush-Kuhn-Tucker type necessary optimality conditions for weak Pareto optimality and duality results which have been stated in terms of the right differentials of functions involved in the considered multiobjective programming problem.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Antczak [14] studied d-invexity is one of the generalization of invex function, which is introduced by [15]. In [14], Antczak established, under weaker assumptions than Ye, the Fritz John type and Karush-Kuhn-Tucker type necessary optimality conditions for weak Pareto optimality and duality results which have been stated in terms of the right differentials of functions involved in the considered multiobjective programming problem.…”
Section: Introductionmentioning
confidence: 99%
“…corrrected the Karush-Kuhn-Tucker necessary conditions in [14] and discussed the sufficiency and duality under d r   type I functions. Recently, Silmani and Radjef [20] introduced generalzed d I -invexity in which each component of the objective and constraint functions is directionally differentiable in its own direction and established the necessary and sufficient conditions for efficient and properly efficient solutions.…”
Section: Introductionmentioning
confidence: 99%
“…Also, hypotheses (i), (ii), and (iv) of Theorem 18 are clearly satisfied and it follows that is an efficient solution of the above defined multiobjective optimization problem, whereas it will be impossible to apply for this purpose the sufficient optimality conditions given in Kharbanda et al [18], Ahmad [17], Slimani and Radjef [12], Mishra and Noor [10], Mishra et al [16], Antczak [9], Suneja and Srivastava [19], and Ye [8]. …”
Section: Theorem 17 Suppose There Exist a Feasible Solution Of (Mp)mentioning
confidence: 99%
“…Also, he derived necessary and sufficient optimality conditions taking functions ( ; ) and ( ; ) to be convex. However, Antczak [9] considered the directional derivatives of objective and constraint functions to be preinvex and derived duality results for Wolfe type, MondWeir type, and mixed type dual programs. Mishra and Noor [10] extended the class of functions to --type I functions and obtained sufficient optimality and duality results for Mond-Weir type multiobjective dual program.…”
Section: Introductionmentioning
confidence: 99%
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